Tongliang Liu


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Tongliang Liu

Tongliang Liu

Lecturer in Machine Learning
School of Computer Science
Facult of Engineering
The University of Sydney

Address: Room 315/J12/ 1 Cleveland St, Darlington, NSW 2008, Australia
E-mail: tliang.liu [at] gmail.com; tongliang.liu [at] sydney.edu.au
[Google Scholar] [DBLP]

Greetings! I am currently a Lecturer with the School of Computer Science at The University of Sydney. Before joining USyd, I was a Lecturer with the Centre for Artificial Intelligence at the University of Technology Sydney.

My research interests lie in providing mathematical and theoretical foundations to justify and understand machine learning models and designing efficient learning algorithms for problems in computer vision and data mining, with a particular emphasis on matrix factorisation, transfer learning, and learning with label noise.

I am always looking for highly-motivated students to join our group. If you are interested in the research in our group, please send an email to tongliang.liu@sydney.edu.au about your interests and background (attaching your CV, transcripts, and any previous research papers). Thanks!


News

  • 05/2019, a paper has been accepted by IEEE TIP.

  • 05/2019, a paper has been accepted by IJCAI.

  • 04/2019, a paper has been accepted by ICME.

  • 03/2019, I accepted the invitations to serve as a reviewer for ACML 2019.

  • 03/2019, one paper has been accepted by CVPR. Congrats! Erkun!

  • 02/2019, one paper has been accepted by IEEE TIP. Congrats! Erkun!

  • 02/2019, I accepted the invitations to serve as a reviewer for (ICML 2019, CVPR 2019, currently serving) NeurIPS 2019, ICCV 2019.

  • 01/2019, one paper has been accepted by IEEE TPAMI.

  • 01/2019, one paper has been accepted by IEEE TPAMI.

  • ~ ~ ~
  • 12/2018, one paper has been accepted by IEEE TNNLS.

  • 11/2018, one paper has been accepted by IEEE TCYB. Congrats! Erkun!

  • 09/2018, one paper has been accepted by IEEE TNNLS.

  • 08/2018, I accepted the invitations to serve as a reviewer for (NeurIPS 2018, currently serving) ICLR 2019, AISTAS 2019; and as a Senior program committee for AAAI 2019.

  • 07/2018, three papers have been accepted by ECCV 2018. Congrats! Xiyu! Ya! and Baosheng!

  • 06/2018, one paper has been accepted by T-IP.

  • 04/2018, we have theoretically answered why "going deeper, generalising better" and why deep learning algorithm can have a small test error. Details are in the arXiv paper.

  • 04/2018, three papers have been accepted by IJCAI 2018. Congrats! Yuxuan! Yong! and Erkun!

  • 03/2018, one paper has been accepted by T-PAMI.

  • 03/2018, one paper has been accepted by CVPR. Congrats! XiYu!

 

Last Update: 5/2019.